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Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.

dc.contributor.author Akushevich, Igor
dc.contributor.author Arbeev, Konstantin
dc.contributor.author Kravchenko, J
dc.contributor.author Ukraintseva, Svetlana
dc.contributor.author Yashin, Anatoli I
dc.coverage.spatial United States
dc.date.accessioned 2017-06-06T17:05:01Z
dc.date.available 2017-06-06T17:05:01Z
dc.date.issued 2012-02
dc.identifier https://www.ncbi.nlm.nih.gov/pubmed/22283485
dc.identifier.uri http://hdl.handle.net/10161/14851
dc.description.abstract OBJECTIVES: To use the Medicare Files of Service Use (MFSU) to evaluate patterns in the incidence of aging-related diseases in the U.S. elderly population. DESIGN: Age-specific incidence rates of 19 aging-related diseases were evaluated using the National Long Term Care Survey (NLTCS) and the Surveillance, Epidemiology, and End Results (SEER) Registry data, both linked to MFSU (NLTCS-M and SEER-M, respectively), using an algorithm developed for individual date at onset evaluation. SETTING: A random sample from the entire U.S. elderly population (Medicare beneficiaries) was used in NLTCS, and the SEER Registry data covers 26% of the U.S. population. PARTICIPANTS: Thirty-four thousand seventy-seven individuals from NLTCS-M and 2,154,598 from SEER-M. MEASUREMENTS: Individual medical histories were reconstructed using information on diagnoses coded in MFSU, dates of medical services and procedures, and Medicare enrollment and disenrollment. RESULTS: The majority of diseases (e.g., prostate cancer, asthma, and diabetes mellitus) had a monotonic decline (or decline after a short period of increase) in incidence with age. A monotonic increase in incidence with age with a subsequent leveling off and decline was observed for myocardial infarction, stroke, heart failure, ulcer, and Alzheimer's disease. An inverted U-shaped age pattern was detected for lung and colon carcinomas, Parkinson's disease, and renal failure. The results obtained from the NLTCS-M and SEER-M were in agreement (excluding an excess for circulatory diseases in the NLTCS-M). A sensitivity analysis proved the stability of the incidence rates evaluated. CONCLUSION: The developed computational approaches applied to the nationally representative Medicare-based data sets allow reconstruction of age patterns of disease incidence in the U.S. elderly population at the national level with unprecedented statistical accuracy and stability with respect to systematic biases.
dc.language eng
dc.relation.ispartof J Am Geriatr Soc
dc.relation.isversionof 10.1111/j.1532-5415.2011.03786.x
dc.subject Age Distribution
dc.subject Age Factors
dc.subject Aged
dc.subject Aged, 80 and over
dc.subject Female
dc.subject Geriatrics
dc.subject Humans
dc.subject Incidence
dc.subject Male
dc.subject Medicare
dc.subject United States
dc.title Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.
dc.type Journal article
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/22283485
pubs.begin-page 323
pubs.end-page 327
pubs.issue 2
pubs.organisational-group Center for Population Health & Aging
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Duke
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Duke Population Research Center
pubs.organisational-group Duke Population Research Institute
pubs.organisational-group Institutes and Centers
pubs.organisational-group Institutes and Provost's Academic Units
pubs.organisational-group Physics
pubs.organisational-group Sanford School of Public Policy
pubs.organisational-group School of Medicine
pubs.organisational-group Social Science Research Institute
pubs.organisational-group Staff
pubs.organisational-group Surgery
pubs.organisational-group Surgery, Surgical Sciences
pubs.organisational-group Trinity College of Arts & Sciences
pubs.organisational-group University Institutes and Centers
pubs.publication-status Published
pubs.volume 60
dc.identifier.eissn 1532-5415


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